Results 11 to 20 of about 22,021 (69)

Permafrost is warming at a global scale

Nature Communications, 2019
Permafrost warming has the potential to amplify global climate change, because when frozen sediments thaw it unlocks soil organic carbon. Yet to date, no globally consistent assessment of permafrost temperature change has been compiled.
B. Biskaborn, Sharon L Smith, J. Noetzli, H. Matthes, G. Vieira, D. Streletskiy, P. Schoeneich, V. Romanovsky, A. Lewkowicz, A. Abramov, M. Allard, J. Boike, W. Cable, Hanne H. Christiansen, R. Delaloye, B. Diekmann, D. Drozdov, B. Etzelmüller, G. Grosse, M. Guglielmin, T. Ingeman‐Nielsen, K. Isaksen, M. Ishikawa, M. Johansson, H. Jóhannsson, Anseok Joo, D. Kaverin, A. Kholodov, P. Konstantinov, T. Kröger, C. Lambiel, Jean-Pierre Lanckman, D. Luo, G. Malkova, I. Meiklejohn, N. Moskalenko, M. Oliva, M. Phillips, M. Ramos, A. Sannel, D. Sergeev, C. Seybold, P. Skryabin, A. Vasiliev, Qingbai Wu, K. Yoshikawa, M. Zheleznyak, H. Lantuit   +47 more
semanticscholar   +1 more source

Deep learning based tissue analysis predicts outcome in colorectal cancer

Scientific Reports, 2018
Image-based machine learning and deep learning in particular has recently shown expert-level accuracy in medical image classification. In this study, we combine convolutional and recurrent architectures to train a deep network to predict colorectal ...
Dmitrii Bychkov, N. Linder, Riku Turkki, S. Nordling, P. Kovanen, C. Verrill, Margarita Walliander, M. Lundin, C. Haglund, J. Lundin   +9 more
semanticscholar   +1 more source

InChI, the IUPAC International Chemical Identifier

Journal of Cheminformatics, 2015
This paper documents the design, layout and algorithms of the IUPAC International Chemical Identifier, InChI.
S. Heller, A. McNaught, I. Pletnev, Stephen Stein, Dmitrii V. Tchekhovskoi   +4 more
semanticscholar   +1 more source

Superconductivity at 161 K in thorium hydride ThH10: Synthesis and properties [PDF]

Materials Today, 2019
Here we report targeted high-pressure synthesis of two novel high-$T_C$ hydride superconductors, $P6_3/mmc$-$ThH_9$ and $Fm\bar{3}m$-$ThH_{10}$, with the experimental critical temperatures ($T_C$) of 146 K and 159-161 K and upper critical magnetic fields
Dmitrii V. Semenok, A. Kvashnin, A. Ivanova, V. Svitlyk, V. Fominski, A. Sadakov, O. Sobolevskiy, V. Pudalov, I. Troyan, A. Oganov   +9 more
semanticscholar   +1 more source

Radical transformation pathway towards sustainable electricity via evolutionary steps

Nature Communications, 2019
A transition towards long-term sustainability in global energy systems based on renewable energy resources can mitigate several growing threats to human society simultaneously: greenhouse gas emissions, human-induced climate deviations, and the exceeding
D. Bogdanov, J. Farfán, Kristina Sadovskaia, A. Aghahosseini, Michael Child, Ashish Gulagi, A. S. Oyewo, Larissa de Souza Noel Simas Barbosa, C. Breyer   +8 more
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Anomalous High‐Temperature Superconductivity in YH6

Advances in Materials, 2021
Pressure‐stabilized hydrides are a new rapidly growing class of high‐temperature superconductors, which is believed to be described within the conventional phonon‐mediated mechanism of coupling.
I. Troyan, D. Semenok, A. Kvashnin, A. Sadakov, O. Sobolevskiy, V. Pudalov, A. Ivanova, V. Prakapenka, E. Greenberg, A. Gavriliuk, I. Lyubutin, V. Struzhkin, A. Bergara, I. Errea, Raffaello Bianco, M. Calandra, F. Mauri, Lorenzo Monacelli, R. Akashi, A. Oganov   +19 more
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Wildfire spreading prediction using multimodal data and deep neural network approach

Scientific Reports
Predicting wildfire spread behavior is an extremely important task for many countries. On a small scale, it is possible to ensure constant monitoring of the natural landscape through ground means.
Dmitrii G. Shadrin, S. Illarionova, Fedor Gubanov, Ksenia Evteeva, Maksim Mironenko, Ivan Levchunets, R. Belousov, Evgeny Burnaev   +7 more
semanticscholar   +1 more source

Automated optimization of large quantum circuits with continuous parameters [PDF]

npj Quantum Information, 2017
We develop and implement automated methods for optimizing quantum circuits of the size and type expected in quantum computations that outperform classical computers.
Y. Nam, N. J. Ross, Yuan Su, Andrew M. Childs, D. Maslov   +4 more
semanticscholar   +1 more source

Experimental comparison of two quantum computing architectures [PDF]

Proceedings of the National Academy of Sciences of the United States of America, 2017
Significance Quantum computers are an emerging technology promising to be vastly more powerful at solving certain problems than any conventional computer. These devices are now moving out of the laboratory and becoming generally programmable. This allows
N. Linke, D. Maslov, M. Rötteler, S. Debnath, C. Figgatt, K. Landsman, K. Wright, C. Monroe   +7 more
semanticscholar   +1 more source

Deep Learning Models for Single-Channel Speech Enhancement on Drones

IEEE Access, 2023
Speech enhancement for drone audition is made challenging by the strong ego-noise from the rotating motors and propellers, which leads to extremely low signal-to-noise ratios (e.g. SNR $< -15$ dB) at onboard microphones.
Dmitrii Mukhutdinov, Ashish Alex, A. Cavallaro, Lin Wang   +3 more
semanticscholar   +1 more source